Kitchener Waterloo, On Data scientist Jobs – 47 Openings This Week

Machine Learning Engineer, Edge AI
onsemi —Waterloo, ON
- $120,000–$170,000 a year
- Full-time
- Research
- Machine learning
- Computer networking
Senior Customer Analytics Manager
Jobber —Kitchener-Waterloo, ON
- $151,200–$204,500 a year
- Full-time
- Hybrid work
- Salesforce
- SQL
- Analysis skills
Director, Fintech & Risk Analytics
Jobber —Kitchener-Waterloo, ON
- $203,200–$274,900 a year
- Full-time
- Hybrid work
- Engineering
- Finance
- Master's degree
Senior Customer Analytics Manager (Sales & Partnerships)
Jobber —Kitchener-Waterloo, ON
- $151,200–$204,500 a year
- Full-time
- Hybrid work
- Sales
- Salesforce
- SQL
14d
Manager, Customer Analytics (Sales & Marketing)
Jobber —Kitchener-Waterloo, ON
- $151,200–$204,500 a year
- Full-time
- Hybrid work
- Sales
- SQL
- Analysis skills
14d
Sr. Director, Product Management, AI Product Strategy
OpenText —Waterloo, ON
- Full-time
- AI
- Paid time off
Sr. Manager, Technical Architect – Enterprise AI Solutions
Canadian Solar Inc. —Kitchener, ON
- Full-time
- Azure
- Computer Science
- DevOps
- Dental care
- Paid time off
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Machine Learning Engineer, Edge AI

onsemi
Waterloo, ON

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Job details

Full-time

Skills

PyTorch
Research
OS Kernels
Machine learning
Computer networking
Recruiting
AI
Python
Debugging

Full job description

We are looking for a Machine Learning Engineer, Edge AI to lead the integration and control of our next-generation AI accelerators. As our products evolve to include dedicated neural network hardware, the challenge shifts from pure algorithm implementation to complex hardware orchestration.

This role is about more than just writing kernels; it’s about defining the firmware layer that sits between high-level AI frameworks and our custom silicon. You will be responsible for how our DSPs manage, schedule, and feed data to these accelerators. We need a veteran who can look at a PyTorch model and determine the best way to tile memory, manage DMA transfers, and synchronize processing to ensure we hit our ultra-low-power targets while maximizing throughput. You will also be the primary technical voice influencing our future hardware specs to ensure our accelerators are actually "firmware-friendly."

Responsibilities

What You Will Do

Lead research and development efforts in edge AI and embedded machine learning.
Design, train, evaluate, optimize, and deploy machine learning models spanning applications from low-power 1D sensor processing through high-dimensional sensing systems such as ultrasonic arrays.
Investigate and develop novel architectures for constrained edge deployments, balancing performance, power, latency, and memory requirements.
Optimize AI workloads through techniques such as quantization, pruning, graph optimization, kernel acceleration, and hardware-aware training.
Deploy models across a variety of hardware platforms, including onsemi solutions and third-party edge AI hardware.
Stay current with advances in machine learning research and translate promising techniques into scalable, production-ready products.
Work closely with hardware, firmware, and software teams to co-design AI solutions that maximize efficiency, performance, and scalability on resource-constrained edge platforms

Qualifications

What You’ll Need

Strong Python, PyTorch and ONNX experience developing, training, evaluating, and deploying machine learning models.
Deep understanding of modern AI architectures including CNNs, Transformers, state-space models, and other emerging neural network approaches.
Experience optimizing, deploying and debugging models across a wide spectrum of edge devices, from ultra-constrained microcontrollers and DSPs to high-performance AI accelerators and GPUs.
Experience developing machine learning solutions for one or more sensing domains, including time-series signals, audio, computer vision, or ultrasonic sensing.
Hands-on experience with model compression and deployment techniques such as quantization, pruning, graph optimization, and operator/kernel optimization.
Practical experience translating research concepts into production-quality systems.
Strong understanding of model performance tradeoffs involving latency, memory footprint, power consumption, and accuracy.
4+ years of industry and/or academic experience in machine learning research, model development, or AI systems engineering.

Nice to Have

CUDA development and GPU optimization experience.
Experience with TensorRT, ONNX Runtime, TVN, IREE, or similar inference frameworks.
Experience with TinyML, embedded inference runtimes, or DSP programming.

onsemi is excited to share the base salary range for this position i$120,000 - $170,000 exclusive of fringe benefits or potential bonuses. The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and/or consideration of internal equity of our current team members. We also offer a competitive benefits package

About Us

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

About the Team

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.

onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact [email protected] for assistance.

Apply Now

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data scientist jobs in kitchener waterloo, on

Machine Learning Engineer, Edge AI

Senior Customer Analytics Manager

Director, Fintech & Risk Analytics

Senior Customer Analytics Manager (Sales & Partnerships)

Manager, Customer Analytics (Sales & Marketing)

Sr. Director, Product Management, AI Product Strategy

Sr. Manager, Technical Architect – Enterprise AI Solutions

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